How can natural language processing be used to help improve diversity?

Incorporating natural language processing in hiring and selection processes can increase diversity by eliminating clues that a subject may be from a disadvantaged background. The matching system used by hiring partners can be improved to be demographically agnostic, eliminating bias for job seekers.

Why are mentors important?

<span data-sheets-value="{"1":2,"2":"Ultimately, mentors have the capacity to have a tremendous influence on young people in particular; the relationship between mentor and mentee has always reminded me of the parent-child dynamic, which is why it’s so critical for students to identify their role models earlier on."}" data-sheets-userformat="{"2":4483,"3":{"1":0},"4":{"1":2,"2":16777215},"10":2,"11":4,"15":"Arial"}">Ultimately, mentors have the capacity to have a tremendous influence on young people in particular; the relationship between mentor and mentee has always reminded me of the parent-child dynamic, which is why it’s so critical for students to identify their role models earlier on.

When was the first all-female spacewalk?

<span data-sheets-value="{"1":2,"2":"October 18, 2019. Events like the all-female spacewalk help us, as a society, actively move toward a future with equal representation and opportunities."}" data-sheets-userformat="{"2":4483,"3":{"1":0},"4":{"1":2,"2":16777215},"10":2,"11":4,"15":"Arial"}">October 18, 2019. Events like the all-female spacewalk help us, as a society, actively move toward a future with equal representation and opportunities.

How can natural language processing be used to help eliminate bias in hiring decisions?

Incorporating natural language processing in our society’s hiring and selection process can enhance processes and increase diversity. The matching system used by hiring partners can be improved to be demographically agnostic, eliminating bias for job seekers.

Diego Carvalho IEEE Senior Member

Related Questions

Further Reading